Qiankun Wang

发表

MDA-GCNFTG: identifying miRNA-disease associations based on graph convolutional networks via graph sampling through the feature and topology graph

Dongqing Wei, D. Salahub, Xuhong Wang, 2021, Briefings Bioinform..

Exploring the Papillomaviral Proteome to Identify Potential Candidates for a Chimeric Vaccine against Cervix Papilloma Using Immunomics and Computational Structural Vaccinology

Dong-Qing Wei, Gurudeeban Selvaraj, Satyavani Kaliamurthi, 2019, Viruses.

Computational Screening and Analysis of Lung Cancer Related Non-Synonymous Single Nucleotide Polymorphisms on the Human Kirsten Rat Sarcoma Gene

Dongqing Wei, A. Mehmood, Y. Xiong, 2019, Molecules.

A Self-attention Graph Convolutional Network for Precision Multi-tumour Early Diagnostics with DNA Methylation Data

Dongqing Wei, A. Mehmood, Y. Xiong, 2022, bioRxiv.

TLGRU: time and location gated recurrent unit for multivariate time series imputation

Zhenghui Zhang, Qiankun Wang, Jianzhi Sun, 2022, EURASIP J. Adv. Signal Process..

DTI-MLCD: predicting drug-target interactions using multi-label learning with community detection method

Yanjing Wang, Yi Xiong, Dong-Qing Wei, 2020, Briefings Bioinform..

Marine natural compounds as potents inhibitors against the main protease of SARS-CoV-2—a molecular dynamic study

Dongqing Wei, Yu-Juan Zhang, M. T. Khan, 2020, Journal of biomolecular structure & dynamics.

NeuroPpred-Fuse: an interpretable stacking model for prediction of neuropeptides by fusing sequence information and feature selection methods

Dongqing Wei, Y. Xiong, Yanyi Chu, 2021, Briefings Bioinform..

A transformer-based model to predict peptide–HLA class I binding and optimize mutated peptides for vaccine design

Dongqing Wei, D. Salahub, Y. Xiong, 2022, Nature Machine Intelligence.

TransMut: a program to predict HLA-I peptide binding and optimize mutated peptides for vaccine design by the Transformer-derived self-attention model

Xuhong Wang, Yanyi Chu, Dennis Salahub, 2021 .

Running ahead of evolution—AI-based simulation for predicting future high-risk SARS-CoV-2 variants

Jie Fu, Dongqing Wei, Qiankun Wang, 2023, bioRxiv.

A transformer-based model to predict peptide–HLA class I binding and optimize mutated peptides for vaccine design

Dongqing Wei, D. Salahub, Yan Zhang, 2022, Nature Machine Intelligence.

Immunomics Datasets and Tools: To Identify Potential Epitope Segments for Designing Chimeric Vaccine Candidate to Cervix Papilloma

Dong-Qing Wei, William C. S. Cho, Keren Gu, 2019, Data.

MDF-SA-DDI: predicting drug-drug interaction events based on multi-source drug fusion, multi-source feature fusion and transformer self-attention mechanism

Dongqing Wei, Yi-tian Fang, Y. Xiong, 2021, Briefings Bioinform..

PredT4SE-Stack: Prediction of Bacterial Type IV Secreted Effectors From Protein Sequences Using a Stacked Ensemble Method

Dong-Qing Wei, Yi Xiong, Xiaolei Zhu, 2018, Front. Microbiol..

Discovering potent inhibitors against the Mpro of the SARS-CoV-2. A medicinal chemistry approach

Dongqing Wei, A. Kaushik, A. Mehmood, 2021, Computers in Biology and Medicine.

Bringing Structural Implications and Deep Learning-Based Drug Identification for KRAS Mutants

Cheng-Dong Li, Aamir Mehmood, Aman Chandra Kaushik, 2021, J. Chem. Inf. Model..

Allosteric Mechanism of Human Mitochondrial Phenylalanyl-tRNA Synthetase: An Atomistic MD Simulation and a Mutual Information-Based Network Study.

Chunhua Li, Qiankun Wang, Jingmin Cheng, 2021, The journal of physical chemistry. B.

An investigation into the allosteric mechanism of GPCR A2A adenosine receptor with trajectory-based information theory and complex network model

Chunhua Li, Qiankun Wang, Zhongjie Han, 2020, Journal of biomolecular structure & dynamics.

A Self-attention Graph Convolutional Network for Precision Multi-tumor Early Diagnostics with DNA Methylation Data

Dongqing Wei, A. Mehmood, Yanyi Chu, 2023, Interdisciplinary Sciences Computational Life Sciences.

A Self-attention Graph Convolutional Network for Precision Multi-tumour Early Diagnostics with 1 DNA Methylation Data 2 3

Yanyi Chu, Qiankun Wang, Xue Jiang, 2022 .